lyunee commited on
Commit
3fda616
·
verified ·
1 Parent(s): f04d1ec

Upload continuous evaluation checkpoints, batch 34

Browse files
Files changed (50) hide show
  1. continuous/smollm2/mc1_l14_224_2.5b/finetune/training_args.bin +3 -0
  2. continuous/smollm2/mc1_l14_224_2.5b/finetune/vocab.json +0 -0
  3. continuous/smollm2/mc1_l14_224_2.5b/pretrain/config.json +70 -0
  4. continuous/smollm2/mc1_l14_224_2.5b/pretrain/mm_projector.bin +3 -0
  5. continuous/smollm2/mc1_l14_224_2.5b/pretrain/trainer_state.json +421 -0
  6. continuous/smollm2/mc1_l14_224_400m/finetune/chat_template.jinja +6 -0
  7. continuous/smollm2/mc1_l14_224_400m/finetune/config.json +70 -0
  8. continuous/smollm2/mc1_l14_224_400m/finetune/generation_config.json +9 -0
  9. continuous/smollm2/mc1_l14_224_400m/finetune/merges.txt +0 -0
  10. continuous/smollm2/mc1_l14_224_400m/finetune/model.safetensors +3 -0
  11. continuous/smollm2/mc1_l14_224_400m/finetune/special_tokens_map.json +28 -0
  12. continuous/smollm2/mc1_l14_224_400m/finetune/tokenizer.json +0 -0
  13. continuous/smollm2/mc1_l14_224_400m/finetune/tokenizer_config.json +155 -0
  14. continuous/smollm2/mc1_l14_224_400m/finetune/trainer_state.json +1856 -0
  15. continuous/smollm2/mc1_l14_224_400m/finetune/training_args.bin +3 -0
  16. continuous/smollm2/mc1_l14_224_400m/finetune/vocab.json +0 -0
  17. continuous/smollm2/mc1_l14_224_400m/pretrain/config.json +70 -0
  18. continuous/smollm2/mc1_l14_224_400m/pretrain/mm_projector.bin +3 -0
  19. continuous/smollm2/mc1_l14_224_400m/pretrain/trainer_state.json +421 -0
  20. continuous/smollm2/mc2_b16_224/finetune/chat_template.jinja +6 -0
  21. continuous/smollm2/mc2_b16_224/finetune/config.json +70 -0
  22. continuous/smollm2/mc2_b16_224/finetune/generation_config.json +9 -0
  23. continuous/smollm2/mc2_b16_224/finetune/merges.txt +0 -0
  24. continuous/smollm2/mc2_b16_224/finetune/model.safetensors +3 -0
  25. continuous/smollm2/mc2_b16_224/finetune/special_tokens_map.json +28 -0
  26. continuous/smollm2/mc2_b16_224/finetune/tokenizer.json +0 -0
  27. continuous/smollm2/mc2_b16_224/finetune/tokenizer_config.json +155 -0
  28. continuous/smollm2/mc2_b16_224/finetune/trainer_state.json +1856 -0
  29. continuous/smollm2/mc2_b16_224/finetune/training_args.bin +3 -0
  30. continuous/smollm2/mc2_b16_224/finetune/vocab.json +0 -0
  31. continuous/smollm2/mc2_b16_224/pretrain/config.json +70 -0
  32. continuous/smollm2/mc2_b16_224/pretrain/mm_projector.bin +3 -0
  33. continuous/smollm2/mc2_b16_224/pretrain/trainer_state.json +421 -0
  34. continuous/smollm2/mc2_b16_384/finetune/chat_template.jinja +6 -0
  35. continuous/smollm2/mc2_b16_384/finetune/config.json +70 -0
  36. continuous/smollm2/mc2_b16_384/finetune/generation_config.json +9 -0
  37. continuous/smollm2/mc2_b16_384/finetune/merges.txt +0 -0
  38. continuous/smollm2/mc2_b16_384/finetune/model.safetensors +3 -0
  39. continuous/smollm2/mc2_b16_384/finetune/special_tokens_map.json +28 -0
  40. continuous/smollm2/mc2_b16_384/finetune/tokenizer.json +0 -0
  41. continuous/smollm2/mc2_b16_384/finetune/tokenizer_config.json +155 -0
  42. continuous/smollm2/mc2_b16_384/finetune/trainer_state.json +1856 -0
  43. continuous/smollm2/mc2_b16_384/finetune/training_args.bin +3 -0
  44. continuous/smollm2/mc2_b16_384/finetune/vocab.json +0 -0
  45. continuous/smollm2/mc2_b16_384/pretrain/config.json +70 -0
  46. continuous/smollm2/mc2_b16_384/pretrain/mm_projector.bin +3 -0
  47. continuous/smollm2/mc2_b16_384/pretrain/trainer_state.json +421 -0
  48. continuous/smollm2/mc2_b32_224/finetune/chat_template.jinja +6 -0
  49. continuous/smollm2/mc2_b32_224/finetune/config.json +70 -0
  50. continuous/smollm2/mc2_b32_224/finetune/generation_config.json +9 -0
continuous/smollm2/mc1_l14_224_2.5b/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:814c110862ef4e71ffba0de4e2a2c212f6b90bbd4578fcaf3f2b5826a677c5b2
3
+ size 6264
continuous/smollm2/mc1_l14_224_2.5b/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc1_l14_224_2.5b/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc1/mc1_l14_224_2.5b.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc1_l14_224_2.5b/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ba8aa57e3800ab3cd925022caf9f98ff7287c46d74a71c29222c7cb614b1c1c
3
+ size 25184312
continuous/smollm2/mc1_l14_224_2.5b/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.4161409139633179,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.9378,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.29861825704574585,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.036,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.0861617773771286,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.834,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.07558989524841309,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7757,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.09008540213108063,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7598,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.20660638809204102,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.7326,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.11932431161403656,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.7015,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.14415760338306427,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.6429,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.11182712018489838,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5832,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.1450847089290619,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5283,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.12055770307779312,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4726,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.11468195915222168,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4336,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.1253194659948349,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.3883,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.17316696047782898,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.3537,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.11703010648488998,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.3375,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.11011172086000443,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.2973,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.09874790161848068,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.2677,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.1759662926197052,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.2427,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.12577006220817566,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.2229,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.10340164601802826,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.1922,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.10298560559749603,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.1849,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.10577841103076935,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.1881,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.10823354125022888,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.1748,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.11417815089225769,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.1657,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.09860491752624512,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.1653,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.10098212957382202,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.166,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.11663515865802765,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.1452,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.11312514543533325,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.1482,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.08895380049943924,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.1341,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.08980587124824524,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.1376,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.15094691514968872,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.141,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.10691195726394653,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.1405,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.09257025271654129,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.1255,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.13524121046066284,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.1301,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.12197647243738174,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.1278,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.08971214294433594,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.1292,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.09116438031196594,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.1217,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.09545724093914032,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.1283,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.09052363783121109,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.1177,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.08263540267944336,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.1129,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.09642276167869568,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.117,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08810895681381226,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.1114,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.09195135533809662,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.1112,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.10152368247509003,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.1188,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08757398277521133,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.1114,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.08441945165395737,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.1032,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.08384256809949875,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.0998,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.08228873461484909,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.1025,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.08460482209920883,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.1102,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.0828147828578949,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.1107,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.08282177895307541,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.105,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.08146554231643677,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.1019,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.08562793582677841,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.104,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.08627624064683914,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.1009,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.994649052221276e+17,
394
+ "train_loss": 2.2972679698139156,
395
+ "train_runtime": 1681.9125,
396
+ "train_samples_per_second": 331.841,
397
+ "train_steps_per_second": 0.324
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.994649052221276e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/mc1_l14_224_400m/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc1/mc1_l14_224_400m.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc1_l14_224_400m/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ca2d9a17ff54f507573331f346016e535c4a9b002df37206826f0a2f21ffa9
3
+ size 4257262896
continuous/smollm2/mc1_l14_224_400m/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc1_l14_224_400m/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 3.397334098815918,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2823,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.0453319549560547,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1237,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 1.9807926416397095,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 0.9874,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3321748971939087,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9439,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.2985035181045532,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9348,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.293058305978775,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8669,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23912400007247925,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8223,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.2505033016204834,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8376,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.26134636998176575,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8239,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.2108808010816574,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.7945,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.22048650681972504,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7866,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.22880451381206512,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.806,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.22595565021038055,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7812,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.2247183918952942,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.7969,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.24591612815856934,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7749,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.23807761073112488,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7807,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.20756268501281738,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7805,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.20613373816013336,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8117,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.23571233451366425,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.7996,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.20678134262561798,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.7969,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.21151423454284668,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7863,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.19943617284297943,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.774,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.1958693414926529,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7708,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.21758972108364105,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.765,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.20350681245326996,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7825,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.18776358664035797,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7793,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.2067669928073883,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7641,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.1945221722126007,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7594,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.19553151726722717,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.7923,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.18397775292396545,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7504,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.18403206765651703,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7559,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.20078350603580475,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7646,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.2282608300447464,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7655,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.21157564222812653,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7692,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.2115575075149536,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.776,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.2005615085363388,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7574,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.21971940994262695,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.785,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.18604221940040588,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7495,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.20554637908935547,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7518,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.19141234457492828,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7588,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.20701970160007477,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7548,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.19450297951698303,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7711,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.19389323890209198,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7522,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.19092974066734314,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.758,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.20552900433540344,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7443,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.20056746900081635,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.753,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.18076150119304657,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.755,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.20440807938575745,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7528,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.18486741185188293,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7479,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.17248938977718353,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7526,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.19331610202789307,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7414,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.19099915027618408,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7654,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.19631394743919373,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7479,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.20406784117221832,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7585,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.1840822696685791,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7656,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.20048989355564117,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7668,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.20751871168613434,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7796,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2049560695886612,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7482,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.19796235859394073,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7639,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.1724472939968109,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7599,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.2011934220790863,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7793,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.18256323039531708,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7582,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.18693622946739197,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7696,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.21716532111167908,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7685,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.17226867377758026,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7285,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.19447869062423706,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7537,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.18489079177379608,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7645,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.17961342632770538,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7436,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.1856500506401062,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7536,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.19848790764808655,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7672,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.1762075573205948,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7481,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18109847605228424,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7496,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.19318453967571259,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7588,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.1869972199201584,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7432,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.17181296646595,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7423,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.1909130960702896,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7375,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.17751839756965637,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7562,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.19460253417491913,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7518,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.1859966665506363,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.735,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.18822483718395233,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7573,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.18268167972564697,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7558,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.17737063765525818,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7519,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.1892521232366562,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7375,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.1841684877872467,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.739,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1785498559474945,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7491,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.1920839250087738,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7402,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.19217346608638763,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7436,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.1882716864347458,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.748,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.17996379733085632,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7405,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.181784987449646,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7419,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.19880017638206482,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7322,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.17210866510868073,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7411,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.2061915248632431,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7216,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.18516848981380463,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7539,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.18542325496673584,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7694,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.1832064837217331,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7646,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.21284466981887817,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7342,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.18446211516857147,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7434,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.1855497509241104,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7293,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.19308987259864807,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7424,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17669962346553802,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7616,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.2004677951335907,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7593,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.16714885830879211,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7556,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.18968814611434937,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7446,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.1608234941959381,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7382,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.16679564118385315,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.745,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.1895248293876648,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7359,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.1674075871706009,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7616,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.19257752597332,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7453,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.1895565688610077,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7575,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.1939397007226944,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7498,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.20584450662136078,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7469,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.19452142715454102,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7281,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.1961333453655243,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7513,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.17728908360004425,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7357,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.21021179854869843,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7659,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.17678411304950714,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7721,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.18211226165294647,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7527,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.17870047688484192,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7286,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.18857134878635406,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7377,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.1784389615058899,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7362,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.19640029966831207,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7613,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.17805835604667664,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7577,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.17917050421237946,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7357,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18007579445838928,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7285,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.20966097712516785,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7423,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.2007402628660202,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7181,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.18868862092494965,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7366,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.16869042813777924,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7479,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.1809377670288086,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7381,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.18516185879707336,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7577,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.18704846501350403,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7272,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.18406344950199127,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7355,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.18544268608093262,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7414,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.18342651426792145,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7406,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.19539284706115723,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.755,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.18918681144714355,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7467,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.1793672740459442,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7604,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.1969374716281891,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.736,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.18170341849327087,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7376,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.2035565972328186,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7564,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.19964079558849335,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7383,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.18762648105621338,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7518,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.198900043964386,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7529,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.19681262969970703,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7369,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.18313060700893402,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7417,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.1798914670944214,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7373,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.19052255153656006,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.731,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.19211457669734955,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7398,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.18773488700389862,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7519,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.1768617331981659,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7451,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.18262964487075806,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7525,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.17710517346858978,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7521,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.18747426569461823,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7552,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.17769861221313477,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7425,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.17377077043056488,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7528,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.19694870710372925,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7592,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.1903383731842041,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7508,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.1746017038822174,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7468,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.18338477611541748,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7425,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.16733670234680176,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7197,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.19777193665504456,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7209,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.18214818835258484,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7465,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.1667201817035675,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7391,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.18721088767051697,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7542,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.18536563217639923,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7295,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.18802116811275482,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7479,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.18130996823310852,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7399,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.1827254742383957,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7354,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.1739560216665268,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7377,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.19163499772548676,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7432,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.1938161700963974,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7353,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.1949811577796936,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7408,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.1781122088432312,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.749,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.17518942058086395,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7434,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1768358200788498,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7359,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.1875324547290802,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7722,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.1809350997209549,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7485,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.18155035376548767,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7636,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.18118450045585632,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7327,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.18899962306022644,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7262,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.1736753135919571,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7494,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.18714255094528198,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7325,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.1887727826833725,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7382,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.18615587055683136,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7531,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.1804564893245697,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7507,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.1848643571138382,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7404,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.17569126188755035,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7519,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.20200438797473907,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7373,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.19894646108150482,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7487,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.17478039860725403,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7446,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.18287113308906555,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7353,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.19198183715343475,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7532,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.184585303068161,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7523,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.19076591730117798,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7353,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.1915140151977539,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7601,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.18766212463378906,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7509,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.193039670586586,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7498,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.20842868089675903,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7388,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.1789180487394333,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7398,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.17636455595493317,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7468,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.1784311830997467,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7282,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.17860998213291168,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7224,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.19101598858833313,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7379,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.1718917191028595,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7408,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.16935193538665771,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7246,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.192475363612175,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7413,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.16975237429141998,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7184,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1755683720111847,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7466,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.1746635138988495,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.738,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.17752905189990997,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7416,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.19595491886138916,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7556,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1812087893486023,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.737,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.18383406102657318,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7392,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.18614546954631805,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7281,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.17869329452514648,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7498,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.17839772999286652,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7423,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.17501316964626312,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7393,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.18427373468875885,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7385,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.18643298745155334,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7417,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.17985431849956512,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7133,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.17600689828395844,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7459,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.19192029535770416,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7391,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.17079246044158936,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7508,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.1789645552635193,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7375,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20533475279808044,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7209,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.18003255128860474,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7384,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.1731729805469513,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7456,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.1850171536207199,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7473,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.16897274553775787,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7294,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.1703713834285736,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.74,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.166078120470047,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.742,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.18255306780338287,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7527,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.17198815941810608,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7438,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.17926335334777832,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.725,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.17298704385757446,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7401,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.19626152515411377,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7331,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.17481745779514313,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7434,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.178716778755188,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.757,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.1890334039926529,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7503,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.17543376982212067,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.728,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17312532663345337,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7583,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.17842307686805725,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7508,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.18031121790409088,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7408,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.18357238173484802,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7286,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.19657637178897858,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.755,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.1869828999042511,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7497,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.18025588989257812,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7367,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.18080945312976837,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7381,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.1690957248210907,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7411,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.1807427704334259,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7394,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.1770198792219162,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7535,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.17996199429035187,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7338,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.16858069598674774,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7336,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.16590097546577454,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.749,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1684984415769577,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7344,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.1729293167591095,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7305,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.16762402653694153,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7211,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.18516027927398682,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7544,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 6.734751134524637e+18,
1829
+ "train_loss": 0.7560784362305298,
1830
+ "train_runtime": 14911.9056,
1831
+ "train_samples_per_second": 44.589,
1832
+ "train_steps_per_second": 0.174
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 6.734751134524637e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc1_l14_224_400m/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9792fbd2c5f91bbd61b7b03210e1d4ec6391ee62a2c7c98a45820989d740a647
3
+ size 6264
continuous/smollm2/mc1_l14_224_400m/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc1_l14_224_400m/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc1/mc1_l14_224_400m.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc1_l14_224_400m/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c912c06440ea9bf4cf618a8314873f43a144f1bfb4eab4ebb174b50a0c8b4e9
3
+ size 25184312
continuous/smollm2/mc1_l14_224_400m/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 8.13769245147705,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.8712,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.29049405455589294,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.1078,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.10809975117444992,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8314,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.11618616431951523,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7481,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.11623044312000275,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.691,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.14595243334770203,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6233,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.17625640332698822,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.5793,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.14986388385295868,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5384,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.11297085881233215,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5076,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.14245177805423737,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.4945,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.12668916583061218,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4687,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.14115986227989197,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4585,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.10917400568723679,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4369,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.10173344612121582,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4238,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.1329609751701355,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4253,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.10464316606521606,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4074,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.10367582738399506,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4036,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.10190975666046143,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.3885,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.1016937866806984,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.3799,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.15388818085193634,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.3539,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.13211588561534882,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.3455,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.11819598078727722,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.3452,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.13260021805763245,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.328,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.10754507780075073,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.3088,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.10168452560901642,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.2907,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.1080402359366417,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.276,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.12707915902137756,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.2402,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.10606508702039719,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.235,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.10387109965085983,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.2123,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.09969202429056168,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.2113,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.11456750333309174,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.2112,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.10314205288887024,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.2093,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.10124972462654114,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.1906,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.1492922157049179,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.1928,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.141061931848526,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.1898,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.13291655480861664,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.1904,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.09212210029363632,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.1821,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.09403308480978012,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.1858,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.09161797910928726,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.1737,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.09475062787532806,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.1672,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.10153751075267792,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.173,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.1010235920548439,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.1662,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.100890152156353,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.1666,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.11214885115623474,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.1741,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.09659391641616821,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.1668,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.09328963607549667,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.1588,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.09078328311443329,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.1525,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.08889786899089813,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.1564,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.08884506672620773,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.1616,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.08749695122241974,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.1638,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.08666641265153885,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.1575,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.09240273386240005,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.155,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.08935785293579102,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.1563,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.08826245367527008,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.1533,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.994649052221276e+17,
394
+ "train_loss": 2.351939434086511,
395
+ "train_runtime": 1637.4122,
396
+ "train_samples_per_second": 340.86,
397
+ "train_steps_per_second": 0.333
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.994649052221276e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_b16_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/mc2_b16_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_b16_224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_b16_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/mc2_b16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e47697176a16c71eb09cf3c74b87c53fc83cf64c557a2796d8b676c53cb78407
3
+ size 3819597280
continuous/smollm2/mc2_b16_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/mc2_b16_224/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/mc2_b16_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 3.164564371109009,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2876,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.2073814868927,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1537,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.018526554107666,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0128,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3551608324050903,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9579,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3158272504806519,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9435,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.29289793968200684,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8737,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23980428278446198,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8308,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.23318248987197876,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8439,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.21985770761966705,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8293,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.20602279901504517,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.7997,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.21584880352020264,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7914,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.21969620883464813,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8104,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.22216741740703583,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7851,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.21585515141487122,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8001,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.21850968897342682,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.777,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.20886148512363434,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7832,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.17662864923477173,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7835,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.2003907561302185,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8128,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.20307764410972595,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8008,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.1929563730955124,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.7975,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.19685018062591553,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7867,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.19141808152198792,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7751,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.18882350623607635,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7713,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.18396982550621033,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7649,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.19693319499492645,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7826,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.17093826830387115,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.779,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.18827979266643524,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7624,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.16739511489868164,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7593,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.1855725347995758,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.7914,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.16805027425289154,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7507,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.17871621251106262,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7553,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.1810370236635208,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7639,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.18530376255512238,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7658,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.17485737800598145,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7689,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.2021852433681488,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7752,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.18363584578037262,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7565,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.1861044317483902,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.784,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.16810470819473267,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7485,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.17987965047359467,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7507,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.1640540361404419,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7584,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.20735815167427063,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7538,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.18528582155704498,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7702,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.18443231284618378,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7521,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.1704370081424713,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7583,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.1740233302116394,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7433,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.18153758347034454,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7524,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.16454026103019714,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7541,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.18251371383666992,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7524,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.1669532060623169,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7473,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.1658002734184265,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7518,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.18726591765880585,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.741,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.18116095662117004,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7641,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.1793317198753357,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7471,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.18025067448616028,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7584,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.17049063742160797,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7643,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.16687175631523132,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7657,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.19317729771137238,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7791,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.185016930103302,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7477,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.17143772542476654,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7632,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.1595422923564911,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7592,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.188177689909935,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.779,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.16745325922966003,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7571,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.1724218875169754,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7694,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.17798613011837006,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.768,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.1726171374320984,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7278,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.17552833259105682,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7526,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.18287169933319092,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7641,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.1653483510017395,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7434,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.1674371063709259,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.753,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.17436274886131287,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7663,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.16114746034145355,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.747,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.1767033189535141,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7485,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.17427781224250793,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7578,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.17297077178955078,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.743,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.15925294160842896,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7412,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.17339637875556946,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7375,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.15515512228012085,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7554,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.17808504402637482,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7518,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.16476109623908997,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7345,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.1694382280111313,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7569,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.1689242720603943,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7556,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.16800644993782043,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7517,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.1716042459011078,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7383,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.17287364602088928,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7383,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.15925446152687073,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7485,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.17155185341835022,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7401,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.16973887383937836,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.743,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.17068438231945038,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7473,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.1760183721780777,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7403,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.16318364441394806,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7424,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.18890362977981567,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7325,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.1643097698688507,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7403,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.18924731016159058,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7218,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.17374394834041595,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7532,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.17465633153915405,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.769,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.1675771325826645,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7647,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.16909819841384888,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7339,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.16964764893054962,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7426,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.17212142050266266,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7292,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.17344452440738678,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7432,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.16593733429908752,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.761,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.18852637708187103,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7601,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.14869973063468933,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7554,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.16969746351242065,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7436,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.15798380970954895,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7383,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.15735556185245514,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7447,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.16761337220668793,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.736,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.15276125073432922,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7622,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.17702360451221466,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7459,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.16600804030895233,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7572,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.17654575407505035,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7491,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.1790725439786911,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7465,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.17844972014427185,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7273,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.18615388870239258,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7514,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.17090104520320892,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7363,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.1952216923236847,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7657,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.1586393117904663,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7717,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.17283128201961517,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7522,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.16131237149238586,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7282,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.17030537128448486,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7375,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.16504117846488953,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7359,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.16977886855602264,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7614,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.1642896682024002,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7574,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.15924184024333954,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7365,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.16450849175453186,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.728,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.18269191682338715,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7423,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.18427470326423645,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7185,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.17359581589698792,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.736,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.15777680277824402,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7479,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.1659926027059555,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7386,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.17525766789913177,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7573,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.17418217658996582,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7277,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.179988294839859,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7367,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.16765537858009338,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7415,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.1647576242685318,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7402,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.18505136668682098,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.755,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.17697444558143616,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7476,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.1601240336894989,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7607,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.1729377657175064,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7362,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.16889068484306335,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7378,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.17540474236011505,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.756,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.1813642829656601,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7385,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.1747039258480072,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7516,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.17840030789375305,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7529,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.17695675790309906,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7367,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.16979201138019562,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7416,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.16250936686992645,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7375,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.16574272513389587,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7315,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.16124336421489716,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7403,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.17343151569366455,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.752,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.17039291560649872,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7449,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.173437237739563,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7528,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.15717342495918274,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7521,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.1782931387424469,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7549,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.1613856852054596,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7423,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.1617727428674698,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.754,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.1797916293144226,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7592,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.18059898912906647,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7518,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.14893673360347748,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.747,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.161280557513237,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.742,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.159506157040596,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7207,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.16775208711624146,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7207,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.16717199981212616,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7469,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.15890412032604218,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7386,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.1764221340417862,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.754,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.16315126419067383,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7299,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.18094921112060547,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7478,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.16946005821228027,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7402,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.17447009682655334,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7354,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.1605450063943863,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7373,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.17829720675945282,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7439,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.19246898591518402,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.736,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.1824127584695816,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7419,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.17488543689250946,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7499,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.15996991097927094,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7436,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1681155264377594,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7359,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.17948992550373077,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7718,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.16545742750167847,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7481,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.170828178524971,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7644,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.16753607988357544,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7336,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.17375876009464264,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7266,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.1611783355474472,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7495,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.16979192197322845,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7335,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.16945691406726837,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7387,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.18581463396549225,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7533,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.16370859742164612,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7508,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.17142000794410706,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7409,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.16400766372680664,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7524,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.17425313591957092,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7377,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.1818435788154602,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7482,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.15961866080760956,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7444,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.1663353145122528,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7359,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.1789640337228775,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7542,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.1620803326368332,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7525,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.18211255967617035,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7354,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.18070805072784424,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7603,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.17771016061306,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7511,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.18443316221237183,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7499,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.18844455480575562,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7388,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.1711442917585373,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7402,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.16094259917736053,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7468,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.16545380651950836,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7286,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.16329844295978546,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7225,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.1699269860982895,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7384,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.15815961360931396,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7418,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.15230174362659454,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7253,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.17116479575634003,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7418,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.15995311737060547,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7194,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.16231213510036469,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7462,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.15832741558551788,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7386,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.16813650727272034,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7418,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.1794174760580063,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7563,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1744396835565567,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7371,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.1728416532278061,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7404,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.16342942416667938,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7284,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.16157622635364532,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7495,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.1686772108078003,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7429,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.1602437049150467,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7393,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.1733277589082718,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7391,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.1732741892337799,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7414,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.16010303795337677,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7138,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.1601017862558365,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7461,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.17719720304012299,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7397,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.1588665097951889,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7513,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.1645342856645584,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7381,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.1967107355594635,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7209,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.1644049882888794,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7396,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.16060839593410492,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7461,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.16517432034015656,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7477,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.16368195414543152,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7297,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.1578434407711029,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7405,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.15880440175533295,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7418,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.17239175736904144,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.753,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.16045397520065308,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7436,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.17231443524360657,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.725,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.16275055706501007,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7413,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.18268905580043793,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7337,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.15974906086921692,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7438,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.1698264330625534,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7562,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.17994870245456696,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7504,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.1655569076538086,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7289,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.1587996631860733,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7586,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.16626165807247162,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7512,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.1643642634153366,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7401,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.1768452376127243,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7294,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.18186064064502716,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7558,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.17586739361286163,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7506,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.16393786668777466,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7369,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.1645156890153885,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7385,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.165291890501976,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7411,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.16027209162712097,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7403,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.16381332278251648,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.754,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.169601172208786,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7342,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.15862658619880676,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7345,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.157309427857399,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7496,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1608394831418991,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.735,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.16497138142585754,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7308,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.16348937153816223,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7217,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.1680712252855301,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.755,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 5.969420038266946e+18,
1829
+ "train_loss": 0.756627244953013,
1830
+ "train_runtime": 14652.6923,
1831
+ "train_samples_per_second": 45.378,
1832
+ "train_steps_per_second": 0.177
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 5.969420038266946e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc2_b16_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:458eb627ea9179c1d85c5327940cdd3dd16c447c019a80e704073e186346d459
3
+ size 6264
continuous/smollm2/mc2_b16_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_224/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_b16_224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_b16_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6131aead8372c96eda4fdef4917877e40d8186e475d58a72ae7c32955850a1ee
3
+ size 23087160
continuous/smollm2/mc2_b16_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.302564024925232,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.624,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.19252005219459534,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.8771,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.0942540094256401,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.7465,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.08980154246091843,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.6621,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.09236354380846024,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.6066,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.16070935130119324,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.5496,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.11346784979104996,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.5075,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.11783351004123688,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.4675,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.09658630192279816,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.4411,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.15273118019104004,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.4217,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.12204770743846893,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.3969,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.11201092600822449,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.3761,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.10715842992067337,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.3343,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.11827681958675385,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.3007,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.1368584930896759,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.2893,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.10756663233041763,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.2649,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.09509746730327606,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.2535,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.09057611227035522,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.2458,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.11384384334087372,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.2363,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.08935452252626419,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.2141,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.0941726341843605,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.2096,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.11926934123039246,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.2175,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.08777876943349838,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.2094,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.09582775086164474,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.2025,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.09153706580400467,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.2011,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.08770390599966049,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.206,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.08551207929849625,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.1828,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.1320631504058838,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.1914,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.08617965877056122,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.1777,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.08584334701299667,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.1787,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.09851082414388657,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.1834,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.08113019168376923,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.182,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.09357360750436783,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.1696,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.13551002740859985,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.1727,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.08919810503721237,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.1721,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.08656060695648193,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.1727,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.08777748793363571,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.1696,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.07925157994031906,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.1731,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.08891002088785172,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.1655,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.08754244446754456,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.1573,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.08213865011930466,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.1629,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08402838557958603,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.1567,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.07952572405338287,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.1557,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.09276390820741653,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.1636,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08059284836053848,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.1582,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.07880845665931702,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.1494,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.07962658256292343,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.1436,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.08098655194044113,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.1477,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.07673462480306625,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.1562,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.07943347841501236,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.1577,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.07754109799861908,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.1484,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.0763743594288826,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.1478,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.07502713799476624,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.1503,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.0785113126039505,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.1457,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.540700722154701e+17,
394
+ "train_loss": 2.2889384610937276,
395
+ "train_runtime": 1380.7204,
396
+ "train_samples_per_second": 404.23,
397
+ "train_steps_per_second": 0.395
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.540700722154701e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_b16_384/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/mc2_b16_384/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_b16_384.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_b16_384/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/mc2_b16_384/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_384/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae319bc93aa693de06d4b257232999c6efe0864545590a4a1ffacac2db310aee
3
+ size 3820180960
continuous/smollm2/mc2_b16_384/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/mc2_b16_384/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_384/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/mc2_b16_384/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 2.850893020629883,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2202,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.155233383178711,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1139,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.1735053062438965,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0225,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3851972818374634,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9765,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3124080896377563,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9589,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.31553149223327637,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8833,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23714154958724976,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8372,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.2518689036369324,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.849,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.2507813572883606,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8348,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.2128259539604187,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8029,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.2234974056482315,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7938,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.24312429130077362,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8117,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.21378950774669647,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7868,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.22706466913223267,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8013,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.22890323400497437,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.778,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.21861858665943146,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7849,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.18877898156642914,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7847,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.20336416363716125,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8146,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.20783668756484985,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8029,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.21091054379940033,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.799,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.19904999434947968,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7887,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.19136184453964233,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7779,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.19327357411384583,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7729,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.19463007152080536,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7667,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.19695615768432617,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7852,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.19548791646957397,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7821,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.20696790516376495,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7649,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.1736089587211609,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7612,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.18586699664592743,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.7936,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.17675912380218506,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7517,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.18951527774333954,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.757,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.1904790997505188,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7648,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.20632340013980865,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7665,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.1906690150499344,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7702,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.2021060585975647,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7761,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.18477299809455872,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7577,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.19008998572826385,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7857,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.1801384538412094,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7509,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.18558911979198456,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7526,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.17215974628925323,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7598,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.19740881025791168,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7545,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.18551698327064514,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7721,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.1849067658185959,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7529,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.18049094080924988,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.759,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.1896546632051468,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7444,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.20109134912490845,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.754,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.1701788604259491,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7557,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.18553519248962402,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7536,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.17662115395069122,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7484,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.17757980525493622,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7523,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.1863594949245453,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7417,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.18323500454425812,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7656,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.18078845739364624,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7474,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.2015669345855713,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7589,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.1772129386663437,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7657,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.17378118634223938,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7664,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.21452058851718903,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7796,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.19312509894371033,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7476,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.17969579994678497,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7641,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.16764922440052032,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7598,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.18840371072292328,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7791,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.1734262853860855,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7575,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.18131333589553833,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7689,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.18656589090824127,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7679,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.16370071470737457,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7285,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.18336515128612518,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7532,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.1851203441619873,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7646,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.16973060369491577,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7436,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.1736912876367569,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7537,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.1809569001197815,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7666,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.16591325402259827,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7476,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18099498748779297,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7486,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.17983601987361908,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7579,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.18069541454315186,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7426,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.16184565424919128,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7419,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.17427489161491394,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7366,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.16775867342948914,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7548,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.18887446820735931,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.752,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.17418967187404633,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7344,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.17894163727760315,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7565,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.17610597610473633,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7549,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.16949473321437836,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7514,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.18121932446956635,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7376,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.1805466115474701,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7379,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1662389636039734,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7491,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.17974473536014557,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7395,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.18226374685764313,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7426,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.18399925529956818,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7466,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.1815180629491806,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7402,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.16619111597537994,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7416,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.19675248861312866,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7311,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.16530735790729523,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7395,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.19035467505455017,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7204,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.1733878254890442,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7524,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.17978867888450623,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7679,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.17038576304912567,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7637,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.17882023751735687,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7327,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.17275023460388184,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7429,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.17784206569194794,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7285,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.17364603281021118,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7416,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17121776938438416,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7602,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.1904796063899994,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7591,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.15613146126270294,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.755,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.18004873394966125,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7431,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.1587468981742859,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7374,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1613619476556778,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7433,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.17401236295700073,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.735,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.15665633976459503,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7604,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.18160690367221832,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7445,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.17804796993732452,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7559,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.1871778517961502,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7483,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.18551161885261536,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7453,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.19789773225784302,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7269,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.18617063760757446,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7505,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.16960206627845764,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7349,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.19877205789089203,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7649,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.16465185582637787,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7717,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.16980452835559845,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7522,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.1599411815404892,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7269,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.1708192527294159,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7364,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.17718246579170227,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7347,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.17361004650592804,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7596,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.17280958592891693,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7563,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.16624055802822113,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7352,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18551874160766602,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7262,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.1834602653980255,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7401,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.18657854199409485,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7168,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.18018652498722076,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7355,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.16975471377372742,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7471,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.17748205363750458,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7367,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.1807093769311905,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7567,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.1812850832939148,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7267,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.1777990460395813,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7346,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.18763139843940735,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.74,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.16744022071361542,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7398,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.19252894818782806,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7539,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.18705300986766815,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7454,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.1628836840391159,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7596,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.17726664245128632,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7342,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.16794250905513763,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7362,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.17710568010807037,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7547,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.1850324273109436,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7363,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.17425237596035004,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.75,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.1839105784893036,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7504,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.17459826171398163,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7352,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.17254501581192017,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7398,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.16823889315128326,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7358,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.17372910678386688,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7306,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.16738130152225494,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7384,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.16787636280059814,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7501,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.1737619936466217,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7434,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.1736118346452713,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7502,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.1648363471031189,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7503,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.17445282638072968,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7539,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.1706564575433731,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7414,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.16523516178131104,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7511,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.1862461119890213,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7569,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.18857277929782867,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7497,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.16285166144371033,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7454,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.17163486778736115,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7402,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.15825492143630981,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.719,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.17465507984161377,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7185,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.1775495857000351,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7452,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.15623249113559723,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7371,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.17536066472530365,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.752,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.16657724976539612,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7286,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.1818508505821228,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7463,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.17659959197044373,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7388,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.17598962783813477,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7323,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.1650625616312027,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7356,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.18347877264022827,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7421,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.1883387714624405,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7338,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.1833784431219101,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7389,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.17414458096027374,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7471,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.16516698896884918,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7411,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.16598114371299744,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.734,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.1795789897441864,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7701,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.16843141615390778,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7465,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.1728413701057434,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7619,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.16684450209140778,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7307,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.17419065535068512,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7248,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.16691699624061584,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7475,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.17412887513637543,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7308,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.17447695136070251,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.736,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.17730973660945892,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7505,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.16908210515975952,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7493,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.17583613097667694,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7381,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.17169082164764404,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7499,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.1727064847946167,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7356,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.18544836342334747,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.748,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.16296808421611786,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7423,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.17072591185569763,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7342,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.18121349811553955,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7516,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.16804854571819305,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7499,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.17161141335964203,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7334,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.18398968875408173,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7576,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.17444686591625214,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.749,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.188884437084198,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7477,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.1896970272064209,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7364,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.16695596277713776,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7374,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.17259742319583893,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7453,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.16531220078468323,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7269,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.16895803809165955,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.72,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.17043769359588623,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7369,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.16665102541446686,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7384,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.1562945693731308,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7237,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.17332617938518524,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7391,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.16207873821258545,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7173,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1640675663948059,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7443,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.16614660620689392,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7363,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.16775788366794586,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7393,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.18366633355617523,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7537,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1785087138414383,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7351,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.17720745503902435,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7378,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.16691535711288452,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.726,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.16565454006195068,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7473,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.16880112886428833,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7404,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.16521114110946655,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7372,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.21943019330501556,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7367,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.18154005706310272,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7398,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.16615980863571167,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7112,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.16191036999225616,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7437,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.18679124116897583,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7371,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.16748285293579102,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7491,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.16975830495357513,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7357,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20249097049236298,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7183,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.16616275906562805,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7365,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.16744807362556458,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7434,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.16924509406089783,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7453,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.15846528112888336,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7277,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.16325703263282776,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7386,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.15967363119125366,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7404,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.17431631684303284,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7506,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.16070523858070374,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7406,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.17081840336322784,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7231,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.16522233188152313,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7386,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.18655554950237274,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7309,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.16621245443820953,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7417,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.16957826912403107,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7544,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.1872522234916687,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7481,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.16556940972805023,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7265,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.16387414932250977,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7555,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.16942474246025085,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7492,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.1712905466556549,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7384,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.17526304721832275,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7264,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.18235279619693756,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7533,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.18203376233577728,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7481,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.17147399485111237,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7348,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.16670238971710205,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7366,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.16737517714500427,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.739,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.16303609311580658,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7378,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.17247824370861053,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7522,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.17512664198875427,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7324,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.1634855419397354,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7321,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.15853698551654816,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7463,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.15862950682640076,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7324,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.16466273367404938,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7285,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.1599629670381546,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7193,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.17714408040046692,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7528,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 5.970443249800708e+18,
1829
+ "train_loss": 0.7555468448731456,
1830
+ "train_runtime": 15884.3589,
1831
+ "train_samples_per_second": 41.859,
1832
+ "train_steps_per_second": 0.163
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 5.970443249800708e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc2_b16_384/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e353492ac55ef7441eec89e493ae3aa811c79cc9c833087a245b9e4fe36199dc
3
+ size 6264
continuous/smollm2/mc2_b16_384/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_b16_384/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_b16_384.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_b16_384/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a4a7b34b15d66e466288e7c1925821107349213148cb3d0281e09ba579847f2
3
+ size 23087160
continuous/smollm2/mc2_b16_384/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.440363883972168,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.7474,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.1090504378080368,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9503,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.03523124381899834,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8179,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.029568009078502655,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7568,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.05413147434592247,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7263,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.05133375898003578,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6709,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.17032384872436523,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6272,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.05913560464978218,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5898,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.06992418318986893,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5536,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.07264862209558487,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5278,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.06887026876211166,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4952,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.07125219702720642,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.477,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.05882719159126282,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4457,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.06919504702091217,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4257,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.06769761443138123,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4245,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.07990416884422302,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4067,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.04965323582291603,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.3993,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.05485902354121208,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.3799,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.05708199739456177,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.3692,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.060782212764024734,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.3376,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.05724591389298439,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.3258,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.06267184764146805,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.3168,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.060826655477285385,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.2975,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.0644165426492691,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.2738,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.06149816885590553,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.2645,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.060466233640909195,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.258,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.056505098938941956,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.2336,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.06159905344247818,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.2352,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.04968848079442978,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.2163,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.052511755377054214,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.2139,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.05810706317424774,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.2171,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.05549906939268112,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.2159,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.05930022522807121,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.2007,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.06079768389463425,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.202,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.05104554444551468,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.2002,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.055357675999403,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.2006,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.053364597260951996,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.1952,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.0517413355410099,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.1996,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.04872744530439377,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.1891,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.048755429685115814,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.1801,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.047234777361154556,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.1869,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.05319714918732643,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.1807,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.052428122609853745,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.1794,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.05316852033138275,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.187,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.04979328066110611,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.18,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.047998975962400436,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.174,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.046858590096235275,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.166,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.04678865149617195,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.1696,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.04989534616470337,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.1764,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.04657411947846413,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.1797,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.04723575338721275,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.1702,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.04655489698052406,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.1693,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.0459640771150589,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.1715,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.046138353645801544,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.1676,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.398330161068769e+17,
394
+ "train_loss": 2.354331280769558,
395
+ "train_runtime": 2813.9873,
396
+ "train_samples_per_second": 198.341,
397
+ "train_steps_per_second": 0.194
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 33258880,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.398330161068769e+17,
418
+ "train_batch_size": 32,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_b32_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/mc2_b32_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-32",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_b32_224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_b32_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }